Sino-Danish Center, University of Chinese Academy of Sciences, 100190, Beijing, China.
University of Chinese Academy of Sciences, 100190, Beijing, China.
Mol Psychiatry. 2022 May;27(5):2619-2634. doi: 10.1038/s41380-022-01489-8. Epub 2022 Mar 9.
The functional diversity of the human cerebellum is largely believed to be derived more from its extensive connections rather than being limited to its mostly invariant architecture. However, whether and how the determination of cerebellar connections in its intrinsic organization interact with microscale gene expression is still unknown. Here we decode the genetic profiles of the cerebellar functional organization by investigating the genetic substrates simultaneously linking cerebellar functional heterogeneity and its drivers, i.e., the connections. We not only identified 443 network-specific genes but also discovered that their co-expression pattern correlated strongly with intra-cerebellar functional connectivity (FC). Ninety of these genes were also linked to the FC of cortico-cerebellar cognitive-limbic networks. To further discover the biological functions of these genes, we performed a "virtual gene knock-out" by observing the change in the coupling between gene co-expression and FC and divided the genes into two subsets, i.e., a positive gene contribution indicator (GCI) involved in cerebellar neurodevelopment and a negative gene set (GCI) related to neurotransmission. A more interesting finding is that GCI is significantly linked with the cerebellar connectivity-behavior association and many recognized brain diseases that are closely linked with the cerebellar functional abnormalities. Our results could collectively help to rethink the genetic substrates underlying the cerebellar functional organization and offer possible micro-macro interacted mechanistic interpretations of the cerebellum-involved high order functions and dysfunctions in neuropsychiatric disorders.
人类小脑的功能多样性很大程度上被认为是源自其广泛的连接,而不仅仅局限于其基本不变的结构。然而,小脑内在组织中的连接的确定是否以及如何与微尺度基因表达相互作用尚不清楚。在这里,我们通过研究同时连接小脑功能异质性及其驱动因素(即连接)的遗传基质,解码小脑功能组织的遗传特征。我们不仅鉴定出 443 个网络特异性基因,还发现它们的共表达模式与小脑内功能连接(FC)密切相关。其中 90 个基因也与皮质-小脑认知-边缘网络的 FC 相关。为了进一步发现这些基因的生物学功能,我们通过观察基因共表达与 FC 之间的耦合变化进行了“虚拟基因敲除”,并将基因分为两个子集,即参与小脑神经发育的正基因贡献指标(GCI)和与神经传递相关的负基因集(GCI)。一个更有趣的发现是,GCI 与小脑连接-行为相关性以及许多与小脑功能异常密切相关的公认的脑部疾病显著相关。我们的研究结果有助于重新思考小脑功能组织的遗传基础,并为神经精神障碍中涉及的小脑高级功能和功能障碍的微观-宏观相互作用的机制解释提供可能。